A hypergraph-based service dependency model for cloud services. - Rui Wang 079; Qimin Peng; Xiaohui Hu (MFI, 2014)

Software architecture construction and collaboration based on service dependency. - Rui Wang 079; Qimin Peng; Xiaohui Hu (CSCWD, 2015)

Multi-USVs Coordinated Detection in Marine Environment with Deep Reinforcement Learning. - Ruiying Li; Rui Wang 079; Xiaohui Hu; Kai Li 047; Haichang Li (Bench, 2018)

Network Improved by Auxiliary Part Features for Person Re-identification. - Zhongji Liu; Hui Zhang 061; Rui Wang 079; Haichang Li; Xiaohui Hu (ICCSIP (2), 2018)

Historical Best Q-Networks for Deep Reinforcement Learning. - Wenwu Yu; Rui Wang 079; Ruiying Li; Jing Gao; Xiaohui Hu (ICTAI, 2018)

Multi-critic DDPG Method and Double Experience Replay. - Jiao Wu; Rui Wang 079; Ruiying Li; Hui Zhang 061; Xiaohui Hu (SMC, 2018)

Efficient and Scalable Exploration via Estimation-Error. - Chuxiong Sun; Rui Wang 079; Ruiying Li; Jiao Wu; Xiaohui Hu (IJCNN, 2019)

Street-view Change Detection via Siamese Encoder-decoder Structured Convolutional Neural Networks. - Xinwei Zhao; Haichang Li; Rui Wang 079; Changwen Zheng; Song Shi (VISIGRAPP (5: VISAPP), 2019)

Application Research of Model-Free Reinforcement Learning under the Condition of Conditional Transfer Function with Coupling Factors. - Xiaoya Yang; Youtian Guo; Rui Wang 079; Xiaohui Hu (AIPR, 2020)

Enhanced soft attention mechanism with an inception-like module for image captioning. - Zheng Lian; Haichang Li; Rui Wang 079; Xiaohui Hu (ICTAI, 2020)

Learning Effective Value Function Factorization via Attentional Communication. - Bo Wu; Xiaoya Yang; Chuxiong Sun; Rui Wang 079; Xiaohui Hu; Yan Hu (SMC, 2020)

Detecting stealthy attacks on industrial control systems using a permutation entropy-based method. - Yan Hu; Hong Li 004; Tom H. Luan; An Yang; Limin Sun 001; Zhiliang Wang; Rui Wang 079 (Future Gener. Comput. Syst., 2020)

Intrinsic Motivated Multi-Agent Communication. - Chuxiong Sun; Bo Wu; Rui Wang 079; Xiaohui Hu; Xiaoya Yang; Cong Cong (AAMAS, 2021)

Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation. - Kai Zhang; Yifan Sun; Rui Wang 079; Haichang Li; Xiaohui Hu (BMVC, 2021)

LFMAC: Low-Frequency Multi-Agent Communication. - Cong Cong; Chuxiong Sun; Ruiping Liu; Rui Wang 079; Xiaohui Hu (ICONIP (5), 2021)

Reward Space Noise for Exploration in Deep Reinforcement Learning. - Chuxiong Sun; Rui Wang 079; Qian Li 003; Xiaohui Hu (Int. J. Pattern Recognit. Artif. Intell., 2021)

Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion. - Xiangli Nie; Ruofei Gao; Rui Wang 079; Deliang Xiang (IEEE Geosci. Remote. Sens. Lett., 2021)

Context-Assisted Attention for Image Captioning. - Zheng Lian; Rui Wang 079; Haichang Li; Xiaohui Hu (ICANN (1), 2022)

Deep Reinforcement Learning for Object Detection with the Updatable Target Network. - Wenwu Yu; Rui Wang 079; Xiaohui Hu (SMC, 2022)

Constrained-SIoU: A Metric for Horizontal Candidates in Multi-Oriented Object Detection. - Yanan Zhang; Haichang Li; Rui Wang 079; Mengya Zhang; Xiaohui Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning. - Zeming Wang; Xiaoyang Li; Rui Wang 079; Changwen Zheng (CACML, 2023)

Adaptive Graph Augmentation for Graph Contrastive Learning. - Zeming Wang; Xiaoyang Li; Rui Wang 079; Changwen Zheng (ICIC (4), 2023)

Semi-Supervised Text Classification via Self-Paced Semantic-Level Contrast. - Yu Xia; Kai Zhang; Kaijie Zhou; Rui Wang 079; Xiaohui Hu (PAKDD (2), 2023)

Physical Layer Security Against Passive Eavesdropper in Digital Twin-Enabler Power Grid: An IRS-Assisted Approach. - Xin Liu; Rui Wang 079; Yiliang Liu; Donglan Liu; Fangzhe Zhang; Lili Sun; Tom H. Luan (PIMRC, 2023)

Cross modification attention-based deliberation model for image captioning. - Zheng Lian; Yanan Zhang; Haichang Li; Rui Wang 079; Xiaohui Hu (Appl. Intell., 2023)

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. - Qirui Ji; Jiangmeng Li; Jie Hu 019; Rui Wang 079; Changwen Zheng; Fanjiang Xu (AAAI, 2024)

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. - Chuxiong Sun; Zehua Zang; Jiabao Li; Jiangmeng Li; Xiao Xu; Rui Wang 079; Changwen Zheng (AAAI, 2024)

CMIX: Causal Value Decomposition for Cooperative Multi-Agent Reinforcement Learning. - Dunqi Yao; Chuxiong Sun; Kai Li 047; Kaijie Zhou; Hanyu Li; Rui Wang 079; Lixiang Liu (SMC, 2024)

Mastering Visual Reinforcement Learning via Positive Unlabeled Policy-Guided Contrast. - Zehua Zang; Qirui Ji; Rui Wang 079; Kai Li 047; Lixiang Liu; Fuchun Sun 001 (ICIC (12), 2025)

A Game of Finding Delicate Data Augmentations: Reinforcement Contrastive Learning of Visual Representations. - Zehua Zang; Rui Wang 079; Lixiang Liu; Fuchun Sun 001 (ICIC (12), 2025)

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. - Chuxiong Sun; Peng He; Rui Wang 079; Changwen Zheng (AAMAS, 2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Chuxiong Sun; Peng He; Qirui Ji; Zehua Zang; Jiangmeng Li; Rui Wang 079; Wei Wang (CoRR, 2025)